JPAL: Seize this teachable moment

[I wrote this blog back in May 2021 but then put it into a waiting period to make sure I wasn’t saying something rash and intemperate (which I have been known to do and which is why I am not on Twitter, ever. I finally (five months later) have decided to post it (with minor revisions) since the point continues to be topical.]

A May 10, 2021 blog post (article in Project Syndicate) from JPAL titled “Growth is not enough” has these striking lines:

But for millions of people living in poverty, growth is not enough. Specific, targeted social programs based on rigorous empirical evidence are equally important to prevent people from being left behind.

This claim of “equally important” is striking in four ways.

First, even without any knowledge on the topic, to anyone that takes empirical claims seriously this is strikingly implausible. “Equally important” is a set of measure zero. That is, if I told you that electron mass and proton mass were equal your first thought would be: “Really? Of all the masses that particles could have they just happen to be equal? There must be some really deep and important feature of the universe that makes that fact be so as, without that justification, it is just a strikingly implausible coincidence.” (And you would be right, the proton to electron rest mass ratio is 1836.15267343 (truncated at some digits) which is an appropriately arbitrary number). So even without knowing any empirical facts one already suspects this is not a factual claim at all, but emotive rhetoric.

Second, anyone with any knowledge about global poverty knows that, as a general claim, it is false, not by a little but by a lot (at least factor of 10, maybe a factor of 100) and known to be false. I have research (summarized here) that shows that growth is, in fact, enough: that a higher level of median consumption is in fact empirically sufficient for reducing a country’s absolute headcount poverty. If by “growth” one means differences across countries in the level of median income/consumption (which are necessarily the result of differences in long-run growth) then growth alone (with a flexible functional form) accounts for around 98 percent of differences in absolute headcount poverty.

David McKenzie (who has himself done some great RCTs) has a 2020 commentary titled “If it needs a power calculation does it matter for poverty reduction?” that starts from the premise that everyone accepts that the typical (median) productivity in the place (country/region) where a person works is far and away the most important determinant of their income and hence likelihood of being in poverty. Therefore growth and migration are obviously massively important for poverty, the only question is does anything else “matter” at all and by how much? (with zero possibility it is “equally important”). The point is that this is not a dispute between my research and their research. That growth and programs are not, in general, “equally important” is just common knowledge.

Third, this claim is specific in a way that makes it both even more obviously false and also obviously self-interested. The claim isn’t just that “social programs” are equally important. The claim is that the subset of social programs that are (i) “specific” and (ii) “targeted” and (iii) “based on rigorous empirical evidence” are “equally important.” The claim “public transit accounts for an equal share of commuting to work in the USA” would be implausible (again, why “equal”?) and empirically false but the JPAL claim is like asserting that “ridership on public transit in blue buses whose license plate ends in an odd number accounts for an equal share of commuting to work in the USA.” In the USA, for instance, one can estimate (and debate) how important Social Security was for the reduction in poverty among the elderly but since its design and adoption wasn’t “based on rigorous empirical analysis” it wouldn’t be in the set of programs this statement claims are “equally important.”

These qualifications on the type of social programs being promoted also reveal that this claim is completely and totally self-interested. JPAL takes money in order to generate “rigorous knowledge” for the design of “specific” and “targeted” social programs so this claim is just advertising for their product.

Fourth, the double standard they want readers to accept is striking. That is, JPAL wants you to (a) use rigorous empirical knowledge in making decisions about how to fight poverty (and improve wellbeing more generally) but also (b) accept their claim of a small subset of social programs being “equally important” to poverty as economic growth completely and totally without evidence.

That is, the implicit proposed double standard is (a) in the design and adoption of specific, targeted, social programs we, JPAL, think that “rigorous” is the standard to use for empirical evidence but (b) about the self-interested claims that we JPAL make about the benefits of using the standard of “rigorous” for empirical evidence (and hence in decisions in how much funding, we, JPAL, should receive) one should adopt a completely different standard of evidence. The standard we want for our claims is: just accept our rhetoric without any evidence at all. The sentence is not “Rigorous empirical analysis shows that specific, targeted social programs based on rigorous empirical evidence are equally important to prevent people from being left behind” rather the statement was just made ex cathedra, to be accepted just because it was said.

I think article creates a very teachable moment for JPAL, with three clear options.

One, retract the article/blog and make it clear that JPAL really stands for the use of rigorous empirical evidence in development decision making–including for itself.

Two, teach us all what “rigorous empirical evidence” means to JPAL by showing how this claim (and others in this article) are not just true, and not just backed by some evidence, or even by backed by “persuasive” evidence but are backed by “rigorous” evidence. Or, alternatively, teach us what kinds of empirical claims about development impact need to be backed by rigorous empirical evidence and which do not.

Three, do nothing, which will use this teachable moment to teach us something important about JPAL. I suspect a lot of people and organizations are rooting for option 3. If JPAL, an organization founded on its commitment to the generation and use of rigorous evidence, can live with a yawning double standard on evidence between their own rhetoric and their actual practice in their public-facing advocacy, then so, of course, can they, and hence so can everyone else.